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New posts in floating-accuracy

Accuracy below 50% for binary classification

machine-learning binary floating-accuracy text-classification

Addition vs Subtraction in loss of significance with floating-points

floating-point precision floating-accuracy numerical-analysis

accuracy of float32

python numpy floating-point floating-accuracy

are computations with large floats less accurate then with small floats

precision cpu-architecture floating-accuracy numerics

Accuracy score of a Decision Tree Classifier

machine-learning classification decision-tree floating-accuracy

Why we get to approach asymptotically the value 0 "more" than the value 1?

r precision floating-accuracy

How does C++ compute the absolute value of a complex number, preventing overflow?

c++ numeric floating-accuracy complex-numbers

Dot Product: * Command vs. Loop gives different results

matlab floating-point floating-accuracy dot-product

Can we say that it's always true that 0.5*x + 0.5*x == x?

floating-point precision floating-accuracy ieee-754

printing the integral part of a floating point number

c string floating-point floating-accuracy

How does Lua's floating-point handling differ from other languages?

floating-point lua floating-accuracy

Should I worry about precision when I use C++ mathematical functions with integers?

c++ algorithm math floating-point floating-accuracy

Rounding problems when creating date vectors

arrays matlab date floating-accuracy

Generic way of handling fused-multiply-add floating-point inaccuracies

c++ floating-point precision floating-accuracy fma

Java more precision in arithmetic

java math floating-accuracy

Modulo operator gives unexpected output in Java

java mathematical-optimization modulo floating-accuracy

Is float value guaranteed to be 0 when a float variable is initialized to 0.0?

c floating-point floating-accuracy processor

Change in Python built in round() function between 2.4 and 2.7

python floating-point python-2.7 floating-accuracy python-2.4

Can C++ std::numeric_limits<float>::max() be accurately stored in a float and later compared?

c++ floating-accuracy

Floating point less-than-equal comparisons after addition and subtraction

r floating-point floating-accuracy epsilon inexact-arithmetic
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